Java ME Application Research Articles

MOBILE PHONE APPLICATIONS IN THE WATER DOMAIN

This paper presents experiences with development of mobile phone demonstrator applications in the water domain in different application areas such as water distribution, hydrological data collection, flood management and water quality information dissemination. A brief overview of technologies for developing mobile phone applications is presented, with focus on those used in the demonstrated case studies: Short Message Services (SMS), Java Micro Edition (Java ME) and Android Operating System for smart phones (Android OS). SMS applications are presented for supporting operational management decisions in a water distribution system and for gathering and dissemination of user-recorded water level data for purposes of flood management. Java ME applications are demonstrated for designing advice serving systems for farmers in developing countries and urban flood forecasting and warning. Android OS smart phone applications are presented for dissemination of water quality information obtained from a catchment model and for monitored location-based water quality information of surface water bodies used for recreation and swimming. Some of the applications presented are integrated web–mobile phone applications, following the increasing trend of merging these two originally separate platforms into one that is universally accessible from different devices. The kinds of application areas suitable for harnessing the potential of mobile phone applications are discussed, together with advantages and disadvantages of different technologies.

Mobile device access control: an improved correlation based face authentication scheme and its Java ME application

SUMMARYThis paper investigates face authentication based access control solutions for camera‐equipped mobile devices. A new hierarchical correlation based face authentication (HCFA) scheme is proposed, which suits resource‐constrained mobile devices such as mobile phones and personal digital assistants. The idea of HCFA is conducting a partial correlation output peak analysis (analyze the relationship between each cross‐correlation output peak generated from selected sub‐regions of a face), in conjunction with conventional direct cross‐correlation methods. The experimental results on the public domain database demonstrate that the proposed scheme achieved better performance than that of the conventional direct correlation based schemes. Furthermore, HCFA was implemented on the Nokia S60 CLDC emulator using Java ME (previously J2ME) programming technology in order to test the applicability and implementability. The test results show that the proposed algorithm is implementable on mobile devices. It not only shortens processing time but also reduces resource demand significantly, compared with the direct correlation algorithms. Copyright © 2011 John Wiley & Sons, Ltd.

Design and implementation of an automated mobile applications generator for remote database access

Using mobile applications to retrieve and manage data from remote servers is an essential service today. For this reason developers are continuously required to implement applications that perform this task. In this paper an automated mobile applications generator called GAAMov is presented. GAAMov is intended to ease developers' work by generating mobile applications that require accessing a remote database. It provides a very friendly user interface and builds both, the client and server sides. For the client-side it generates Java ME applications. The remote databases are managed using PHP and MySQL. Once information is retrieved, data is converted to an appropriate format in order to store it persistently on the mobile device using the Record Management System (RMS).